GPT-5.4 mini vs Kimi K2.7 Code Highspeed
GPT-5.4 mini comes out ahead, 49 to 44 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAI
GPT-5.4 mini
49/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Add a model
Make it a three-way comparison.
GPT-5.4 mini is our pick
GPT-5.4 mini is the better all-round choice, scoring 49/100 against Kimi K2.7 Code Highspeed (44). It leads on price and context window. Kimi K2.7 Code Highspeed wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5.4 miniGPT-5.4 mini $1.69 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4 miniGPT-5.4 mini 400,000 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsKimi K2.7 Code HighspeedGPT-5.4 mini: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | GPT-5.4 mini | Kimi K2.7 Code Highspeed |
|---|---|---|---|
| Price | 50% | 39 | 25 |
| Inputs & features | 30% | 70 | 80 |
| Context window | 20% | 44 | 37 |
| Overall | 100% | 49/100 | 44/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 148.8 | — |
| ECI rank | #56 of 148 | — |
| GPQA DiamondGraduate-level science questions | 86.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 51.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 88.9% | — |
| SimpleQA VerifiedShort factual questions | 29.4% | — |
| Price per million tokens | ||
| Input | $0.75 (best) | $1.90 |
| Output | $4.50 (best) | $8.00 |
| Cached input | $0.075 | — |
| Blended (3:1) | $1.69 (best) | $3.42 |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 11 providers |
| Limits | ||
| Context window | 400,000 tokens (best) | 262,144 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gpt-5.4-mini | — |
| API providers | 29 (best) | 11 |
| Released | Mar 17, 2026 | Jun 12, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.4 mini$16.50
Kimi K2.7 Code Highspeed$35.00
Which should you choose?
Which is better: GPT-5.4 mini or Kimi K2.7 Code Highspeed?
GPT-5.4 mini is the better all-round choice, scoring 49/100 against Kimi K2.7 Code Highspeed (44). It leads on price and context window. Kimi K2.7 Code Highspeed wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5.4 mini or Kimi K2.7 Code Highspeed?
GPT-5.4 mini is cheaper at $0.75 input / $4.50 output per million tokens (official OpenAI API price). Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $1.69 per million tokens for GPT-5.4 mini versus $3.42 for Kimi K2.7 Code Highspeed (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.4 mini has an ECI of 148.8 and Kimi K2.7 Code Highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 mini and Kimi K2.7 Code Highspeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.4 mini has the largest context window at 400,000 tokens, against 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: GPT-5.4 mini up to 128,000, Kimi K2.7 Code Highspeed up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 mini accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; GPT-5.4 mini is proprietary.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 mini Aug 31, 2025, Kimi K2.7 Code Highspeed Jan 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.